Technical Product Manager - AI/ML

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Day - 08 Hour (United States of America)

This is a Stanford Health Care job.

A Brief Overview
The Technical Product Manager of Data Science Products will report to the Data Science Director to

lead the development and implementation of innovative data and AI products for our healthcare system. This role requires a unique blend of technical expertise, product vision, and a passion for improving healthcare through data-driven solutions. You will collaborate closely with cross-functional teams, including data scientists, engineers, clinicians, and researchers, to deliver cutting-edge products that address critical needs within our academic medical center.

This role is in a new team supporting Stanford Medicine's inaugural Chief Data Scientist in building Stanford Health Care's (SHC) solutions that incorporate Artificial Intelligence (AI) to improve patient care, medical research, and administrative services. This team was created to bring AI, predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that lead to better patient outcomes.

Locations
Stanford Health Care

What you will do

• Define and execute the product vision and roadmap for data and AI products, aligning technical capabilities with the strategic objectives of the medical center.
• Collaborating closely with engineering teams to ensure the technical feasibility and scalability of products.
• Prioritizing user needs based on user research, market trends, and SHC business objectives.
• Defining product requirements, user flows, and success metrics
• Lead the product development lifecycle, including planning, execution, and delivery of new features and products. This involves:
• Developing and maintaining a product roadmap.
• Managing the product backlog.
• Facilitating sprint planning progress.
• Managing product releases and collecting user feedback.
• Generate detailed product requirement documents that include different jobs to be done throughout the data lifecycle. This will include thinking through data ingestion, data governance, and data delivery.
• Effectively communicate project status, progress, and outcomes to stakeholders.
• Drive product adoption and iteration, monitoring product performance, gathering feedback, and identifying opportunities for improvement.

Education Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent combination of education and experience.

Experience Qualifications

• 7+ years of experience as a technical product or program manager, product owner, solutions architect, or similar role, preferably in a data science or analytics environment.
• Strong technical background, including knowledge of data science methodologies, tools, and technologies (e.g., Python, R, SQL, Machine Learning frameworks).
• Experience working with cloud platforms (e.g., Azure, GCP, AWS).

Required Knowledge, Skills and Abilities

• Strong leadership and management skills, with the ability to provide guidance and support to a team of engineers
• Excellent communication, interpersonal, problem-solving, and analytical skills.
• Knowledge and understanding of healthcare informatics related technologies and standards.
• Proven ability to manage complex projects with multiple stakeholders and competing priorities.

Preferred Knowledge, Skills and Abilities

• Advanced degree in a relevant field, such as data science, computer science, or healthcare management.
• Experience with scientific research and analysis tools like Jupyter, RStudio, VSCode.
• Experience delivering products and machine learning models using cloud-native services like BigQuery, Dataproc, Redshift, Sagemaker, and Synapse.
• Developing products in regulated environments, particularly healthcare.
• Machine learning, model development, MLOps, and deep learning frameworks (e.g., TensorFlow or PyTorch)
• Working with electronic health record data.
• Familiarity with Data Visualization tools and techniques
• Experience in Healthcare, health research, life sciences, or similar industries.

Physical Demands and Work Conditions
Blood Borne Pathogens

• Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks

These principles apply to ALL employees:

SHC Commitment to Providing an Exceptional Patient & Family Experience

Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.

You will do this by executing against our three experience pillars, from the patient and family’s perspective:

• Know Me: Anticipate my needs and status to deliver effective care
• Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
• Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.

Base Pay Scale: Generally starting at $76.90 - $101.91 per hour

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.